Global shape normalization for handwritten Chinese character recognition: a new method

@article{Liu2004GlobalSN,
  title={Global shape normalization for handwritten Chinese character recognition: a new method},
  author={Cheng-Lin Liu and Katsumi Marukawa},
  journal={Ninth International Workshop on Frontiers in Handwriting Recognition},
  year={2004},
  pages={300-305}
}
Nonlinear normalization (NLN) based on line density equalization has been widely used in handwritten Chinese character recognition (HCCR). Our previous results showed that global transformation methods, including moment normalization and a newly proposed bi-moment method, generate smooth normalized shapes at lower computation effort while yielding comparable recognition accuracies. This paper proposes a new global transformation method, named modified centroid-boundary alignment (MCBA) method… CONTINUE READING
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